Bingyu Yan

2.3k citations
79 papers · 1.1k · h-index 17

Impact in

  • Hepatology top 5%
    • Hepatitis Viruses Studies and Epidemiology
    • Hepatitis C virus research
  • Epidemiology top 10%
    • Hepatitis B Virus Studies
    • Liver Disease Diagnosis and Treatment

Papers in

    • Hepatitis B Virus Studies 36
    • Liver Disease Diagnosis and Treatment 4
    • Hepatitis Viruses Studies and Epidemiology 14
    • Hepatitis C virus research 8

Bingyu Yan

75 papers receiving 1.1k citations

Peers

Bingyu Yan
Comparison fields: 5 of 119
  • Hepatology 168
  • Epidemiology 254
  • Aging 13
  • Immunology 101
  • Endocrinology, Diabetes and Metabolism 76
Replace Savneet Kaur with:
Savneet Kaur India
Xiaoxiao Zhou China
Zhenhua Luo China
Yue Jiang China
Carole Fournier France
Humphrey Hodgson United Kingdom
Yiyang Chen China
Fei Wang China
Yan Shen China
Farzin Sadeghi Iran
Bingyu Yan relative to Savneet Kaur India Savneet Kaur's profile →
Citations per field
00.5×6.5×
Savneet Kaur · 1×
Citations per year

Countries citing papers authored by Bingyu Yan

Since Specialization
Citations

This map shows the geographic impact of Bingyu Yan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Bingyu Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bingyu Yan more than expected).

Fields of papers citing papers by Bingyu Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bingyu Yan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Bingyu Yan. The network helps show where Bingyu Yan may publish in the future.

Co-authors

The 25 scholars most cited alongside Bingyu Yan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bingyu Yan Line = papers co-authored together Bingyu Yan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017209
2 201365
3 202161
4 200651
5 202349
6 200443
7 202040
8 202039
9 201838
10 202036
11 202336
12 200531
13 200930
14 202326
15 201726
16 202119
17 201918
18 201516
19 201815
20 201214

About Bingyu Yan

Bingyu Yan is a scholar working on Epidemiology, Hepatology, Molecular Biology, Immunology and Infectious Diseases, having authored 79 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (36 papers), Hepatitis Viruses Studies and Epidemiology (14 papers), Hepatitis C virus research (8 papers), Immunotherapy and Immune Responses (7 papers), Immune Cell Function and Interaction (5 papers), Viral gastroenteritis research and epidemiology (4 papers), Electrospun Nanofibers in Biomedical Applications (4 papers) and Liver Disease Diagnosis and Treatment (4 papers). The work is most often cited by research in Hepatology (168 citations), Epidemiology (254 citations), Aging (13 citations), Immunology (101 citations) and Endocrinology, Diabetes and Metabolism (76 citations). Bingyu Yan has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Aiqiang Xu, Zhenxiang Li, Jianfeng Li, Dandan Zhang, Xiangyu Xiong, Wei Xie, Jen Sheen, Yanhua Xu, Mingde Fu and Majid Kazemian. Their work appears in journals such as Human Vaccines & Immunotherapeutics, International Journal of Infectious Diseases, PLoS ONE, Journal of Medical Virology and Biotechnology Letters.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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